Papers by Ali Can Kocabiyikoglu

2 papers
A Spoken Drug Prescription Dataset in French for Spoken Language Understanding (2022.lrec-1)

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Challenge: Existing systems for medical drug prescriptions are in text form and in English.
Approach: They propose to provide a natural language interface to a smartphone that would allow medical practitioners to enter their prescriptions orally at the point of care.
Outcome: The proposed system would allow medical practitioners to enter prescriptions orally at the point of care while leaving the system some control to make sure no legal information is forgotten.
Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation (L18-1)

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Challenge: Recent work in spoken language translation (SLT) has attempted to build end-to-end speech-totext translation without using source language transcription during learning or decoding.
Approach: They propose to augment an existing (monolingual) corpus: LibriSpeech.
Outcome: The proposed corpus is derived from read audiobooks from the LibriVox project and has been carefully segmented and aligned.

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